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TigerFlow: simplified workflow orchestration for HPC

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Training/Workshop Programming Languages Research & Data Analysis Skill-Building Social Sciences

Mon, Nov 2, 2026

4:30 PM – 6 PM EST (GMT-5)

Private Location (register to display)

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Details

Instructors:
Sangyoon Park, Research Software Engineer, Data-Driven Social Science
Nina van Hoorn, Associate Research Software Engineer, Data-Driven Social Science

Doing complex research well often requires chaining together multiple complicated steps, like OCR, audio transcription, or semantic embeddings, all while being constrained by cluster limitations. This workshop introduces TigerFlow, a Python framework for easy orchestration of scalable pipelines using cluster resources. We’ll first learn how to construct and deploy workflows from user-defined Python tasks, and explore TigerFlow-ML, an extension library that provides drop-in solutions for common tasks like document OCR, text embedding, and more.

Hosted By

Data-Driven Social Science | View More Events
Co-hosted with: Princeton Statistics & Data Science (SDS)